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De-aliasing Undersampled Volume Images for Visualization

Gornowicz, Galen G. and Laidlaw, David H. and Shan, Jerry W. and Lang, Daniel B. and Dimotakis, Paul E. (1997) De-aliasing Undersampled Volume Images for Visualization. California Institute of Technology , Pasadena, CA. (Unpublished) http://resolver.caltech.edu/CaltechCSTR:1997.cs-tr-97-11

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Abstract

We present and illustrate a new technique, Image Correlation Supersampling (ICS), for resampling volume data that are undersampled in one dimension. The resulting data satisfies the sampling theorem, and, therefore, many visualization algorithms that assume the theorem is satisfied can be applied to the data. Without the supersampling the visualization algorithms create artifacts due to aliasing. The assumptions made in developing the algorithm are often satisfied by data that is undersampled temporally. Through this supersampling we can completely characterize phenomena with measurements at a coarser temporal sampling rate than would otherwise be necessary. This can save acquisition time and storage space, permit the study of faster phenomena, and allow their study without introducing aliasing artifacts. The resampling technique relies on a priori knowledge of the measured phenomenon, and applies, in particular, to scalar concentration measurements of fluid flow. Because of the characteristics of fluid flow, an image deformation that takes each slice image to the next can be used to calculate intermediate slice images at arbitrarily fine spacing. We determine the deformation with an automatic, multi-resolution algorithm.


Item Type:Report or Paper (Technical Report)
Additional Information:© 1997 California Institute of Technology. This work was supported in part by grants from Apple, DEC, Hewlett Packard, and IBM. Additional support was provided by NSF (ASC-89-20219) as part of the NSF/ARPA STC for Computer Graphics and Scientific Visualization, by the National Institute on Drug Abuse and the National Institute of Mental Health as part of the Human Brain Project, and by the AFOSR (F49620-94-1-0353, F49620-93-1-0338, and F49620-95-1-0199) as part of a larger effort to understand turbulent mixing and chemical reactions in free-shear flows. Thanks also to Pavel Svitek for support with mechanical design and other assistance in the experiments, and to David Breen for reviewing early drafts.
Group:Computer Science Technical Reports, GALCIT
Funders:
Funding AgencyGrant Number
AppleUNSPECIFIED
DECUNSPECIFIED
Hewlett-PackardUNSPECIFIED
IBMUNSPECIFIED
NSFASC-89-20219
NIHUNSPECIFIED
National Institute on Drug AbuseUNSPECIFIED
Air Force Office of Scientific Research (AFOSR)F49620-94-1-0353
Air Force Office of Scientific Research (AFOSR)F49620-93-1-0338
Air Force Office of Scientific Research (AFOSR)F49620-95-1-0199
National Institute of Mental Health (NIMH)UNSPECIFIED
DOI:10.7907/Z9C53HWB
Record Number:CaltechCSTR:1997.cs-tr-97-11
Persistent URL:http://resolver.caltech.edu/CaltechCSTR:1997.cs-tr-97-11
Usage Policy:You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.
ID Code:26813
Collection:CaltechCSTR
Deposited By: Imported from CaltechCSTR
Deposited On:25 Apr 2001
Last Modified:20 Mar 2017 22:20

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